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Simple Distributed Multihop Diversity Relaying Based on Repetition for Low-Power-Low-Rate Application

  • Author / Creator
    Li, Yanwen
  • Low data rate, reliable wireless connectivity among inexpensive fixed, portable and mobile devices is needed in some home automation, industrial control, medical sensing, and reality applications. Such applications are the subject of the IEEE 802.15.4 Standard, and require low power, yet reliable data transfer, but have reduced requirements on data rate and throughput. Multihop relaying systems employing time diversity are proposed for these applications. The performance of repetition-based relaying with amplify-and-forward (AF) and decode-and-forward (DF) protocols operating in Rayleigh fading is studied. Analytical expressions for the symbol error probability (SEP) of the system are derived for both AF and DF relaying protocols. The repetition-based multihop transmission systems achieve diversity order equal to the number of repetitions with AF and DF relaying. It is shown that repetition-based DF relaying systems achieve better SEP than repetition-based AF relaying systems for medium to large values of signal-to-noise ratio.

  • Subjects / Keywords
  • Graduation date
    2012-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3292B
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Dr. Norman C. Beaulieu (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Dr. Ehab Elmallah (Computing Science)
    • Dr. Yindi Jing (Electrical and Computer Engineering)